%0 Journal Article
%J AGU Fall Meeting Abstracts
%D 2019
%T Machine Learning for Streamflow Prediction: Current Status and Future Prospects
%A M. Gauch
%A R. Tang
%A J. Mai
%A B. Tolson
%A S. Gharari
%A J. Lin
%X <p>  	Accurate streamflow prediction is an open challenge in hydrology. We show that approaches based on machine learning can provide more accurate predictions than physically-based models and discuss potential for improvement in hybrid approaches.  </p>
%B AGU Fall Meeting Abstracts
%V 2019
%P H33L-2127
%G eng